A rapid event-related potential (ERP) method for point-of-care evaluation of brain function: Development of the Halifax Consciousness Scanner

Petley, Lauren; Liu, Careesa; Hajra, Sujoy Ghosh; Parvar, Hossein; Satel, J; Trappenberg, Thomas; Boshra, Rober

doi:10.1016/j.jneumeth.2015.02.008

Cited by 25 publications

(23 citation statements)

References 85 publications

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“…Machine learning methods such as support vector machine (SVM), allow training of two-category classifiers to distinguish contrasting experimental conditions (see Parvar et al, 2014 , pp. 1–12; Sculthorpe-Petley et al, 2015 , pp. 64–72).…”

Section: Methodsmentioning

confidence: 99%

“…Equation (1) was utilized for N100 and N400 amplitude and latency as well as P300 latency, whereas Equation (2) was used for P300 amplitude. All EBS calculations were undertaken using an existing database of 100 healthy controls (Sculthorpe-Petley et al, 2015 , pp. 64–72) containing information about N100, P300 and N400 components.…”

Section: Methodsmentioning

confidence: 99%

“…The HCS was developed to examine the presence or absence of five key ERP responses linked to sensation (N100), perception (mismatch negativity, MMN), attention (P300), memory for one's own name (early negative enhancement, ENE), and semantic speech processing (N400). These ERPs were validated across a large sample of healthy individuals and clinically applied in neurological status assessment (Sculthorpe-Petley et al, 2015 , pp. 64–72; Fleck-Prediger et al, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time

et al. 2016

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Clinical assessment of brain function relies heavily on indirect behavior-based tests. Unfortunately, behavior-based assessments are subjective and therefore susceptible to several confounding factors. Event-related brain potentials (ERPs), derived from electroencephalography (EEG), are often used to provide objective, physiological measures of brain function. Historically, ERPs have been characterized extensively within research settings, with limited but growing clinical applications. Over the past 20 years, we have developed clinical ERP applications for the evaluation of functional status following serious injury and/or disease. This work has identified an important gap: the need for a clinically accessible framework to evaluate ERP measures. Crucially, this enables baseline measures before brain dysfunction occurs, and might enable the routine collection of brain function metrics in the future much like blood pressure measures today. Here, we propose such a framework for extracting specific ERPs as potential “brain vital signs.” This framework enabled the translation/transformation of complex ERP data into accessible metrics of brain function for wider clinical utilization. To formalize the framework, three essential ERPs were selected as initial indicators: (1) the auditory N100 (Auditory sensation); (2) the auditory oddball P300 (Basic attention); and (3) the auditory speech processing N400 (Cognitive processing). First step validation was conducted on healthy younger and older adults (age range: 22–82 years). Results confirmed specific ERPs at the individual level (86.81–98.96%), verified predictable age-related differences (P300 latency delays in older adults, p < 0.05), and demonstrated successful linear transformation into the proposed brain vital sign (BVS) framework (basic attention latency sub-component of BVS framework reflects delays in older adults, p < 0.05). The findings represent an initial critical step in developing, extracting, and characterizing ERPs as vital signs, critical for subsequent evaluation of dysfunction in conditions like concussion and/or dementia.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time

et al. 2016

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“…The fact that increasing the number of stimuli per class has such a effect on detection rates suggests that this is a signal-to-noise problem. Sculthorpe-Petley et al [68], approach this problem, by accruing information across participants, rather than increasing the number of presented stimuli. They train a Supoort Vector Machine on the averaged ERPs of each single subject, one for related and one for unrelated stimuli, and obtain a 92% accuracy in a leave-one-subject-out training approach.…”

Section: Language Processing Detection For Disorders Of Consciousnessmentioning

confidence: 99%

The N400 for brain computer interfacing: complexities and opportunities

2020

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The N400 is an Event Related Potential that is evoked in response to conceptually meaningful stimuli. It is for instance more negative in response to incongruent than congruent words in a sentence, and more negative for unrelated than related words following a prime word. This sensitivity to semantic content of a stimulus in relation to the mental context of an individual makes it a signal of interest for Brain Computer Interfaces. Given this potential it is notable that the BCI literature exploiting the N400 is limited. We identify three existing application areas: (1) exploiting the semantic processing of faces to enhance matrix speller performance, (2) detecting language processing in patients with Disorders of Consciousness, and (3) using semantic stimuli to probe what is on a user's mind. Drawing on studies from these application areas, we illustrate that the N400 can successfully be exploited for BCI purposes, but that the signal-to-noise ratio is a limiting factor, with signal strength also varying strongly across subjects. Furthermore, we put findings in context of the general N400 literature, noting open questions and identifying opportunities for further research.

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“…Specific peak deflections are responsive of different processes, as shown by a vast amount of literature (Balconi and Pozzoli 2005). For this reason it is considered a relevant marker of the state of consciousness in association with psychophysiological measures (Rohaut et al 2015;Sculthorpe-Petley et al 2015;Sozzi and Inzaghi 2011).…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Coma Near Coma, Disability Ratings, and Event-Related Potentials in Patients with Disorders of Consciousness: A Semantic Association Task

Balconi

Arangio

2015

Appl Psychophysiol Biofeedback

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The present research explored the relationship between different measures of disorders of consciousness (DOC), that is electrophysiological measures (ERP N400, event-related potentials) and clinical measures (Coma Near Coma, CNC; Disability Rating Scale, DRS). This analysis aimed to verify the preservation of semantic linguistic processes in eighteen patients with DOC. Patients in minimally conscious state (MCS) and in vegetative state (VS) were compared with respect of N400 amplitude and latency measures. They were submitted to an associative auditory task that included congruous (related final words) or incongruous (unrelated final words) word sequences. Firstly, an increased N400 peak amplitude within the fronto-central cortical areas was revealed in response to incongruous sequences for all patients. Moreover, this peak was temporally delayed in response to incongruous conditions in these cortical sites. In addition, patients in VS showed a delayed N400 in comparison with patients in MCS in incongruous condition. Secondly, a direct correlation was found between the clinical scales and the ERP modulation, in terms of peak amplitude and latency. Thus the present results were discussed taking into account the significance of N400 as a marker of semantic processes in patients with DOC. Secondly it was underlined that this cognitive covert process may be demonstrated also in patients who show significant impairment in overt behavior (as in VS or MCS). Finally it was suggested to use ERP measure to improve the diagnostic profile in cases of DOC.

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A rapid event-related potential (ERP) method for point-of-care evaluation of brain function: Development of the Halifax Consciousness Scanner

Cited by 25 publications

References 85 publications

Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time

Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time

The N400 for brain computer interfacing: complexities and opportunities

The Relationship Between Coma Near Coma, Disability Ratings, and Event-Related Potentials in Patients with Disorders of Consciousness: A Semantic Association Task

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